FITINDEX Statement

FITINDEX option <option …> ;

You can use the FITINDEX statement to set the options for computing and displaying the fit indices, or to output the fit indices.
All but the OFF= and ON= options of the FITINDEX statement are also available in the PROC CALIS statement. The options set
in the FITINDEX statement will overwrite those set in the PROC CALIS statement.

turns off the printing of one or more fit indices or
modeling information as indicated by names, where a name represents a fit index, a group of fit indices, or modeling information. Names must be specified inside a pair of parentheses and separated by spaces. By default, all fit indices are printed. See the
ON= option for the value of names.

ON | ONLIST < (ONLY) > = [names] | {names}

turns on the printing of one or more fit indices or
modeling information as indicated by names, where a name represents a fit index, a group of fit indices, or modeling information. Names must be specified inside a pair of parentheses and separated by spaces. Because all fit indices and modeling information
are printed by default, using an ON= list alone is redundant. When both ON= and OFF= lists are specified, the ON= list will
override the OFF= list for those fit indices or modeling information that appear on both lists. If an ON(ONLY)= list is used,
only those fit indices or modeling information specified in the list will be printed. Effectively, an ON(ONLY)= list is the
same as the specification with an ON= list with the same selections and an OFF=ALL list in the FITINDEX statement.

Output Control of Fit Index Groups and Modeling Information GroupYou can use the following names to refer to the groups of fit indices or modeling information available in PROC CALIS:

ABSOLUTE

Absolute or stand-alone fit indices that measures the model fit without using a baseline model.

ALL

All fit indices available in PROC CALIS.

INCREMENTAL

Incremental fit indices that measure model fit by comparing with a baseline model.

MODELINFO

General modeling information including sample size, number of variables, number of variables, and so on.

PARSIMONY

Fit indices that take model parsimony into account.

Output Control of Modeling InformationYou can use the following names to refer to the individual modeling information available in PROC CALIS:

BASECHISQ

Chi-square statistic for the baseline model.

BASEDF

Degrees of freedom of the chi-square statistic for the baseline model.

BASEFUNC

Baseline model function value.

BASELOGLIKE

Baseline model –2 log-likelihood function value for METHOD=FIML.

BASEPROBCHI

p-value of the chi-square statistic for the baseline model fit.

BASESTATUS

Status of the baseline model fitting for METHOD=FIML.

NACTCON

Number of active constraints.

NIOBS

Number of incomplete observations for METHOD=FIML.

NMOMENTS

Number of elements in the moment matrices being modeled.

NOBS

Number of observations assumed in the analysis.

NPARM | NPARMS

Number of independent parameters.

NVAR

Number of variables.

SATFUNC

Saturated model function value for METHOD=FIML.

SATLOGLIKE

Saturated model –2 log-likelihood function value for METHOD=FIML.

SATSTATUS

Status of the saturated model fitting for METHOD=FIML.

Output Control of Absolute Fit IndicesYou can use the following names to refer to the individual absolute fit indices available in PROC CALIS:

CHISQ

Chi-square statistic for model fit.

CN | CRITICAL_N

Hoelter’s critical N.

CONTLIKE

Percentage contribution to the Log-likelihood function value of each group in multiple-group analyses with METHOD=FIML.

CONTRIBUTION | CONTCHI

Percentage contribution to the chi-square value for multiple-group analyses.

DF

Degrees of freedom for the chi-square test for model fit.

ELLIPTIC

Elliptical chi-square statistic for ML and GLS methods in single-group analyses without mean structures. This index is computed
only when you input the raw data with the KURTOSIS option specified.

FUNCVAL

Optimized function value.

GFI

Goodness-of-fit index by Jöreskog and Sörbom.

LOGLIKE

Fitted model –2 log-likelihood function value for METHOD=FIML.

PROBCHI

P-value of the chi-square statistic for model fit.

PROBELLIPTIC

P-value of the elliptical chi-square statistic.

RMR

Root mean square residual.

SRMR

Standardized root mean square residual.

ZTEST

Z-test of Wilson and Hilferty.

Output Control of Parsimonious Fit IndicesYou can use the following names to refer to the individual parsimonious fit indices available in PROC CALIS:

AGFI

Adjusted GFI.

AIC

Akaike information criterion.

CAIC

Bozdogan corrected AIC.

CENTRALITY

McDonald centrality measure.

ECVI

Expected cross-validation index.

ECVI_LL | LL_ECVI

Lower confidence limit for ECVI.

ECVI_UL | UL_ECVI

Upper confidence limit for ECVI.

PGFI

Parsimonious GFI.

PROBCLFIT

Probability of close fit.

RMSEA

Root mean square error of approximation.

RMSEA_LL | LL_RMSEA

Lower confidence limit for RMSEA.

RMSEA_UL | UL_RMSEA

Upper confidence limit for RMSEA.

SBC

Schwarz Bayesian criterion.

Output Control of Incremental Fit IndicesYou can use the following names to refer to the individual incremental fit indices available in PROC CALIS: